ArcGIS REST Services Directory Login
JSON | SOAP

DISASTERS_202607_TYPHOON_BAVI/202613_gpm_accum (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth

Service Description:

Dates of Images:

July 4, 2026 (0 UTC) to July 7, 2026 (0 UTC)

Date of Next Image:

Daily accumulation from July 4, updated as frequently as the following day at 1500 UTC.

Summary:

GPM IMERG Early Precipitation Rate L3 V07(GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 (GPM_3IMERGHHE 07))is an image service derived from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) Early dataset.

The web service shows total precipitation (mm) for the date range outlined by aggregating 30-minute intervals.

IMERG is an algorithm that estimates precipitation rate from multiple passive microwave sensors in the GPM constellation, the GPM Dual-Frequency Radar, and infrared (IR) sensors mounted on geostationary satellites. The data is calibrated seasonally and regionally with varying climatological calibration to the Final Run, which adjusts the Early based on the climatological relationship between Early and monthly gauge data. Input precipitation data estimates computed from the various satellite passive microwave sensors are intercalibrated to the Combined Radar-Radiometer Algorithm (CORRA) product (because it is presumed to be the best snapshot Tropical Rainfall Measuring Mission (TRMM)/GPM estimate after adjustment to the monthly Global Precipitation Climatology Project Satellite-Gauge (GPCP SG)), then "forward morphed" and combined with microwave precipitation-calibrated geo-IR fields to provide half-hourly precipitation estimates on a 0.1°x0.1° (roughly 10x10 km) grid over the globe. Precipitation phase is computed using analyses of surface temperature, humidity, and pressure.

Credits:

Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2024), GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date], 10.5067/GPM/IMERG/3B-HH-E/07

Data Access:

This data was accessed using Giovanni with a sample URL as follows:https://giovanni.gsfc.nasa.gov/giovanni/#service=AcMp&starttime=2026-04-10T00:00:00Z&endtime=2026-04-16T23:59:59Z&bbox=130.0781,-3.3838,163.125,26.8506&data=GPM_3IMERGHHL_07_precipitation

Dataset at a Glance

Shortname: GPM_3IMERGHHE

DOI:10.5067/GPM/IMERG/3B-HH-E/07

Version: 07

Coverage: -180.0,-90.0,180.0,90.0

Temporal Coverage: 1998-01-01 to Present

Data Resolution

Spatial: 0.1 ° x 0.1 °

Temporal: 30 minutes

Symbology:

The default symbology in the Map Viewer may be changed to accommodate other color schemes using the settings in the Image Display panel from the layer settings menu. NoData values, and values less than 0.03 mm/hr (the current threshold value for the IMERG algorithm) have been removed. Ensure that pop-ups are enabled to view pixel values (select Modify Map first).



Name: DISASTERS_202607_TYPHOON_BAVI/202613_gpm_accum

Description:

Dates of Images:

July 4, 2026 (0 UTC) to July 7, 2026 (0 UTC)

Date of Next Image:

Daily accumulation from July 4, updated as frequently as the following day at 1500 UTC.

Summary:

GPM IMERG Early Precipitation Rate L3 V07(GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 (GPM_3IMERGHHE 07))is an image service derived from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) Early dataset.

The web service shows total precipitation (mm) for the date range outlined by aggregating 30-minute intervals.

IMERG is an algorithm that estimates precipitation rate from multiple passive microwave sensors in the GPM constellation, the GPM Dual-Frequency Radar, and infrared (IR) sensors mounted on geostationary satellites. The data is calibrated seasonally and regionally with varying climatological calibration to the Final Run, which adjusts the Early based on the climatological relationship between Early and monthly gauge data. Input precipitation data estimates computed from the various satellite passive microwave sensors are intercalibrated to the Combined Radar-Radiometer Algorithm (CORRA) product (because it is presumed to be the best snapshot Tropical Rainfall Measuring Mission (TRMM)/GPM estimate after adjustment to the monthly Global Precipitation Climatology Project Satellite-Gauge (GPCP SG)), then "forward morphed" and combined with microwave precipitation-calibrated geo-IR fields to provide half-hourly precipitation estimates on a 0.1°x0.1° (roughly 10x10 km) grid over the globe. Precipitation phase is computed using analyses of surface temperature, humidity, and pressure.

Credits:

Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2024), GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date], 10.5067/GPM/IMERG/3B-HH-E/07

Data Access:

This data was accessed using Giovanni with a sample URL as follows:https://giovanni.gsfc.nasa.gov/giovanni/#service=AcMp&starttime=2026-04-10T00:00:00Z&endtime=2026-04-16T23:59:59Z&bbox=130.0781,-3.3838,163.125,26.8506&data=GPM_3IMERGHHL_07_precipitation

Dataset at a Glance

Shortname: GPM_3IMERGHHE

DOI:10.5067/GPM/IMERG/3B-HH-E/07

Version: 07

Coverage: -180.0,-90.0,180.0,90.0

Temporal Coverage: 1998-01-01 to Present

Data Resolution

Spatial: 0.1 ° x 0.1 °

Temporal: 30 minutes

Symbology:

The default symbology in the Map Viewer may be changed to accommodate other color schemes using the settings in the Image Display panel from the layer settings menu. NoData values, and values less than 0.03 mm/hr (the current threshold value for the IMERG algorithm) have been removed. Ensure that pop-ups are enabled to view pixel values (select Modify Map first).



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 11131.950486737162

Pixel Size Y: 11131.950486737167

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "CIM_GPM_500", "description": "Converted from CIM renderer: Classification method: Manual, 16 classes; Color models used: HSV, LAB, RGB; Transparency found; no Custom labels found\nOriginal description: Rendered Raster RFT export for GPM (0-1000mm classifications at 100mm intervals)", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2024), GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date], 10.5067/GPM/IMERG/3B-HH-E/07

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 550.4849853515625

Mean Values: 27.012828547551468

Standard Deviation Values: 48.026629886537286

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query GPS Info   Find Images   Image to Map   Map to Image   Measure from Image   Image to Map Multiray   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project